MEDICAL IMAGE ANALYSIS PLATFORM

Medical imaging techniques are importance nowadays since it is beneficial in medical
diagnosis especially for patient in cancer or internal problem. The most known
imaging techniques are Magnetic Resonance Imaging (MRI) and Computerized
Tomography (CT). The problem faced when using both techniques is the time
consuming during the process of data acquiring. This project is to develop an
algorithm to reduce the time consumptions in analyzing the images. This project can
be used not only for medical application but also for biomedical research. By using
statistical analysis approach, first order statistical algorithm and second order
statistical algorithm focused on NGTDM are developed. The Graphical User
interfaced also developed where all the designed steps are performed by using
MATLAB. The results of analysis can be further used to analyze medical images and
classify there images for medical diagnosis. From the results, it shows that the
statistical analysis has potential to analyze the medical images and can be used as the
first step in detecting any sign of disease. The accuracy of the analysis can be
improved by conducting the analysis by using real medical images.
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